589 Open source projects that are alternatives of or similar to Pytorch Reinforce

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

DrQ: Data regularized Q

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

PyTorch implementation of Soft Actor-Critic (SAC)

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

A collection of multi agent environments based on OpenAI gym.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Unreal environments for reinforcement learning

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

An OpenAI-gym-like environment for Little Fighter 2

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

AI research environment for the Atari 2600 games 🤖.

Proto-RL: Reinforcement Learning with Prototypical Representations

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Reinforcement Learning Algorithms

A Trading environment base on Gym

OpenAI Gym wrapper for the DeepMind Control Suite

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

MuZero

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

PyTorch implementation of Trust Region Policy Optimization

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Sokoban environment for OpenAI Gym

Structural implementation of RL key algorithms

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

Python library for Reinforcement Learning.

Explore and find reinforcement learning environments in a list of 150+ open source environments.

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Reinforcement learning algorithms for MuJoCo tasks

Awesome Game AI materials of Multi-Agent Reinforcement Learning

Must-read papers on knowledge graph reasoning

POMDPs in Python.

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Meandering In Networks of Entities to Reach Verisimilar Answers

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

ProMP: Proximal Meta-Policy Search

The Retro Learning Environment (RLE) -- a learning framework for AI

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

This is Andrew NG Coursera Handwritten Notes.

A simple framework for experimenting with Reinforcement Learning in Python.

Code for the paper "Evolved Policy Gradients"

Implementation for the Neural Logic Machines (NLM).

Tensorflow implementation of generative adversarial imitation learning

Abstractions, algorithms, and utilities for reinforcement learning in Julia